Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

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Publications (1/1 displayed)

  • 2022Evaluation of Fourier Transform Infrared Spectroscopy as a First-Line Typing Tool for the Identification of Extended-Spectrum β-Lactamase-Producing <i>Klebsiella pneumoniae</i> Outbreaks in the Hospital Setting.23citations

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Casas, I.
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Navarro, M.
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2022

Co-Authors (by relevance)

  • Casas, I.
  • Navarro, M.
  • Jh, Wang-Wang
  • Giménez, M.
  • Ae, Bordoy
  • Pérez-Vázquez, M.
  • Cardona, Pere-Joan
  • Tiburcio, A.
  • Guerrero-Murillo, M.
  • Castellà, L.
  • Sopena, N.
  • Martró, Elisa
  • Saludes, V.
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article

Evaluation of Fourier Transform Infrared Spectroscopy as a First-Line Typing Tool for the Identification of Extended-Spectrum β-Lactamase-Producing <i>Klebsiella pneumoniae</i> Outbreaks in the Hospital Setting.

  • Casas, I.
  • Navarro, M.
  • Jh, Wang-Wang
  • Giménez, M.
  • Ae, Bordoy
  • Pérez-Vázquez, M.
  • Md, Quesada
  • Cardona, Pere-Joan
  • Tiburcio, A.
  • Guerrero-Murillo, M.
  • Castellà, L.
  • Sopena, N.
  • Martró, Elisa
  • Saludes, V.
Abstract

Early detection of pathogen cross-transmission events and environmental reservoirs is needed to control derived nosocomial outbreaks. Whole-genome sequencing (WGS) is considered the gold standard for outbreak confirmation, but, in most cases, it is time-consuming and has elevated costs. Consequently, the timely incorporation of WGS results to conventional epidemiology (CE) investigations for rapid outbreak detection is scarce. Fourier transform infrared spectroscopy (FTIR) is a rapid technique that establishes similarity among bacteria based on the comparison of infrared light absorption patterns of bacterial polysaccharides and has been used as a typing tool in recent studies. The aim of the present study was to evaluate the performance of the FTIR as a first-line typing tool for the identification of extended-spectrum β-lactamase-producing <i>Klebsiella pneumoniae</i> (ESBL-Kp) outbreaks in the hospital setting in comparison with CE investigations using WGS as the gold standard method. Sixty-three isolates of ESBL-Kp collected from 2018 to 2021 and classified according to CE were typed by both FTIR and WGS. Concordance was measured using the Adjusted Rand index (AR) and the Adjusted Wallace coefficient (AW) for both CE and FTIR clustering considering WGS as the reference method. Both AR and AW were significantly higher for FTIR clustering than CE clustering (0.475 vs. 0.134, <i>p</i> = 0.01, and 0.521 vs. 0.134, <i>p</i> = 0.009, respectively). Accordingly, FTIR inferred more true clustering relationships than CE (38/42 vs. 24/42, <i>p</i> = 0.001). However, a similar proportion of genomic singletons was detected by both FTIR and CE (13/21 vs. 12/21, <i>p</i> = 1). This study demonstrates the utility of the FTIR method as a quick, low-cost, first-line tool for the detection of ESBL-Kp outbreaks, while WGS analyses are being performed for outbreak confirmation and isolate characterization. Thus, clinical microbiology laboratories would benefit from integrating the FTIR method into CE investigations for infection control measures in the hospital setting.

Topics
  • impedance spectroscopy
  • gold
  • Fourier transform infrared spectroscopy
  • clustering